Oblique decision tree induction using multimembered evolution strategies. - Kun Zhang 012; Zujia Xu; Bill P. Buckles (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2005)

Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. - Kun Zhang 012; Zujia Xu; Jing Peng 001; Bill P. Buckles (ICDM, 2005)

Boosting in classifier fusion vs. fusing boosted classifiers. - Costin Barbu; Kun Zhang 012; Jing Peng 001; Bill P. Buckles (IRI, 2005)

Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. - Kun Zhang 012; Wei Fan 001; Bill P. Buckles; Xiaojing Yuan; Zujia Xu (ICDM, 2006)

Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. - Kun Zhang 012; Wei Fan 001; Xiaojing Yuan; Ian Davidson; Xiangshang Li (ICDM, 2006)

Graph-Based Iterative Hybrid Feature Selection. - ErHeng Zhong; Sihong Xie; Wei Fan 001; Jiangtao Ren; Jing Peng 001; Kun Zhang 012 (ICDM, 2008)

Direct mining of discriminative and essential frequent patterns via model-based search tree. - Wei Fan 001; Kun Zhang 012; Hong Cheng 001; Jing Gao 004; Xifeng Yan; Jiawei Han 001; Philip S. Yu; Olivier Verscheure (KDD, 2008)

Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond. - Kun Zhang 012; Wei Fan 001 (Knowl. Inf. Syst., 2008)

Ozone Level Detection. - Kun Zhang 012; Wei Fan 001; Xiaojing Yuan (UCI Machine Learning Repository, 2008)

Cross domain distribution adaptation via kernel mapping. - Erheng Zhong; Wei Fan 001; Jing Peng 001; Kun Zhang 012; Jiangtao Ren; Deepak S. Turaga; Olivier Verscheure (KDD, 2009)

Breaking the computational barrier: a divide-conquer and aggregate based approach for Alu insertion site characterisation. - Kun Zhang 012; Wei Fan 001; Prescott Deininger; Andrea Edwards; Zujia Xu; Dongxiao Zhu (Int. J. Comput. Biol. Drug Des., 2009)

Bagging. - Wei Fan 001; Kun Zhang 012 (Encyclopedia of Database Systems, 2009)

Generalized and Heuristic-Free Feature Construction for Improved Accuracy. - Wei Fan 001; Erheng Zhong; Jing Peng 001; Olivier Verscheure; Kun Zhang 012; Jiangtao Ren; Rong Yan; Qiang Yang 001 (SDM, 2010)

svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identification. - Wensheng Zhang 005; Andrea Edwards; Wei Fan 001; Dongxiao Zhu; Kun Zhang 012 (BMC Bioinform., 2010)

A programming remediation plan. - Andrea Edwards; Kun Zhang 012 (J. Comput. Sci. Coll., 2010)

PAIR: paired allelic log-intensity-ratio-based normalization method for SNP-CGH arrays. - Shengping Yang; Stanley Pounds; Kun Zhang 012; Zhide Fang (Bioinform., 2013)

RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. - Ke Wu; Kun Zhang 012; Wei Fan 001; Andrea Edwards; Philip S. Yu (ICDM, 2014)

Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. - Ke Wu; Andrea Edwards; Wei Fan 001; Jing Gao 004; Kun Zhang 012 (SDM, 2014)

Iterative sampling based frequent itemset mining for big data. - Xian Wu 001; Wei Fan 001; Jing Peng 001; Kun Zhang 012; Yong Yu 001 (Int. J. Mach. Learn. Cybern., 2015)

The modularity and dynamicity of miRNA-mRNA interactions in high-grade serous ovarian carcinomas and the prognostic implication. - Wensheng Zhang 005; Andrea Edwards; Wei Fan 001; Erik K. Flemington; Kun Zhang 012 (Comput. Biol. Chem., 2016)

CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning. - Zhong Chen 003; Zhide Fang; Wei Fan 001; Andrea Edwards; Kun Zhang 012 (SDM, 2017)

Online Density Estimation over Streaming Data: A Local Adaptive Solution. - Zhong Chen 003; Zhide Fang; Jiabin Zhao; Wei Fan 001; Andrea Edwards; Kun Zhang 012 (IEEE BigData, 2018)

Driver gene mutations based clustering of tumors: methods and applications. - Wensheng Zhang 005; Erik K. Flemington; Kun Zhang 012 (Bioinform., 2018)

Bagging. - Wei Fan 001; Kun Zhang 012 (Encyclopedia of Database Systems (2nd ed.), 2018)

Learning discriminative subregions and pattern orders for facial gender classification. - Zhong Chen 003; Andrea Edwards; Yongsheng Gao 001; Kun Zhang 012 (Image Vis. Comput., 2019)

Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction. - Zhong Chen 003; Andrea Edwards; Kun Zhang 012 (BCB, 2020)

A Simple Ensemble Learning Knowledge Distillation. - Himel Das Gupta; Kun Zhang 012; Victor S. Sheng (MLIS, 2020)

Gene expression analysis reveals a pitfall in the molecular research of prostate tumors relevant to Gleason score. - Wensheng Zhang 005; Yan Dong; Kun Zhang 012 (J. Bioinform. Comput. Biol., 2020)

K2-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks. - Huixin Zhan; Kun Zhang 012; Chenyi Hu; Victor S. Sheng (ACML, 2021)

HGATs: hierarchical graph attention networks for multiple comments integration. - Huixin Zhan; Kun Zhang 012; Chenyi Hu; Victor S. Sheng (ASONAM, 2021)

Multi-objective Privacy-preserving Text Representation Learning. - Huixin Zhan; Kun Zhang 012; Chenyi Hu; Victor S. Sheng (CIKM, 2021)

CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data. - Zhong Chen 003; Zhide Fang; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (ICBK, 2021)

Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. - Huixin Zhan; Kun Zhang 012; Chenyi Hu; Victor S. Sheng (ICBK, 2021)

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2021)

A deep imputation and inference framework for estimating personalized and race-specific causal effects of genomic alterations on PSA. - Zhong Chen 003; Bo Cao; Andrea Edwards; Hongwen Deng; Kun Zhang 012 (J. Bioinform. Comput. Biol., 2021)

Adaptive robust local online density estimation for streaming data. - Zhong Chen 003; Zhide Fang; Victor S. Sheng; Jiabin Zhao; Wei Fan 001; Andrea Edwards; Kun Zhang 012 (Int. J. Mach. Learn. Cybern., 2021)

Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Junqi Wang 001; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Proximal Cost-sensitive Sparse Group Online Learning. - Zhong Chen 003; Huixin Zhan; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (IEEE Big Data, 2022)

New Threats to Privacy-preserving Text Representations. - Huixin Zhan; Kun Zhang 012; Chenyi Hu; Victor S. Sheng (HICSS, 2022)

Projection Dual Averaging Based Second-order Online Learning. - Zhong Chen 003; Huixin Zhan; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (ICDM, 2022)

Driver gene detection through Bayesian network integration of mutation and expression profiles. - Zhong Chen 003; You Lu; Bo Cao; Wensheng Zhang 005; Andrea Edwards; Kun Zhang 012 (Bioinform., 2022)

Robust RNA-seq data analysis using an integrated method of ROC curve and Kolmogorov-Smirnov test. - Shengping Yang; Kun Zhang 012; Zhide Fang (Commun. Stat. Simul. Comput., 2022)

Brain Functional Connectivity Analysis via Graphical Deep Learning. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Junqi Wang 001; Yuntong Bai; Beenish Patel; Kun Zhang 012; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs. - Zhong Chen 003; Wensheng Zhang 005; Hong-Wen Deng; Kun Zhang 012 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). - Huixin Zhan; Kun Zhang 012; Keyi Lu; Victor S. Sheng (AAAI, 2023)

Simplex2vec Backward: From Vectors Back to Simplicial Complex. - Huixin Zhan; Kun Zhang 012; Zhong Chen 003; Victor S. Sheng (CIKM, 2023)

Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. - Huixin Zhan; Liyuan Gao; Kun Zhang 012; Zhong Chen 003; Victor S. Sheng (DSAA, 2023)

An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. - Zhong Chen 003; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (Knowl. Inf. Syst., 2023)

Defense Against Adversarial Attacks for Neural Representations of Text. - Huixin Zhan; Kun Zhang 012; Zhong Chen 003; Victor S. Sheng (HICSS, 2024)

Robust Sparse Online Learning for Data Streams with Streaming Features. - Zhong Chen 003; Yi He 007; Di Wu 056; Huixin Zhan; Victor S. Sheng; Kun Zhang 012 (SDM, 2024)

FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text. - Zhenyu Xu; Kun Zhang 012; Victor S. Sheng (CoRR, 2024)

Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks. - Zhenyu Xu; Kun Zhang 012; Victor S. Sheng (CoRR, 2024)

SocialED: A Python Library for Social Event Detection. - Kun Zhang 012; Xiaoyan Yu; Pu Li; Hao Peng 001; Philip S. Yu (CoRR, 2024)

Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Kun Zhang 012; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2024)

Cost-sensitive sparse group online learning for imbalanced data streams. - Zhong Chen 003; Victor S. Sheng; Andrea Edwards; Kun Zhang 012 (Mach. Learn., 2024)